{"id":"W4401114703","doi":"10.1016/j.mtcomm.2024.109999","title":"Nickel nanocatalyst on lanthanum aluminate: Optimizing preparation and evaluating performance in glycerol dry reforming for syngas production","year":2024,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"University of Kashan","keywords":"Syngas; Materials science; Carbon dioxide reforming; Nickel; Lanthanum; Aluminate; Glycerol; Chemical engineering; Catalysis; Metallurgy; Inorganic chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001917729,0.000226258,0.0003016148,0.0002450569,0.0002673003,0.000434188,0.000474931,0.000330583,0.0007470581],"category_scores_gemma":[0.0003683071,0.0001564253,0.0002115785,0.00022757,0.0001566008,0.0002522884,0.0003071115,0.000282175,0.000470574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004384916,"about_ca_system_score_gemma":0.0002851341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290013,"about_ca_topic_score_gemma":0.005789519,"domain_scores_codex":[0.9997768,0.00002055343,0.00002321044,0.00004289852,0.00009363753,0.00004289259],"domain_scores_gemma":[0.9998857,0.00001641552,0.00001757449,0.00001782714,0.00004534411,0.00001720051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001996359,0.00002883693,0.0002933657,0.0000926936,0.00001056792,0.00004088923,0.00002497383,0.000208634,0.9964216,0.00005859788,0.00008830044,0.002531997],"study_design_scores_gemma":[0.000007146602,0.0001312441,0.0004656088,0.000002963675,0.00001296607,0.00002751785,0.00002551656,0.0008478371,0.9976963,0.00000726998,0.0007718633,0.000003775611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962307,0.0005099943,0.001199279,0.00006818788,0.00002971013,0.00002342133,0.0001237558,0.0001153675,0.00169966],"genre_scores_gemma":[0.9969021,0.0002557036,0.001482209,0.00001695526,0.000005352486,0.00001272767,0.0001237861,0.00002693786,0.001174214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00290013,"threshold_uncertainty_score":0.005766511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03921553777048831,"score_gpt":0.3323010602118832,"score_spread":0.2930855224413949,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}